Dataset Versions
v2
augmented-classification-v1
Generated on Dec 28, 2021
1190 Total Images
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Dataset Split
Train Set 87%
1041Images
Valid Set 8%
99Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels
Cutout: 5 boxes with 5% size each